Empirical Performance Modeling is a performance modeling approach that derives system behavior predictions from observed experimental data rather than theoretical assumptions, distinguishing itself by its reliance on measurable, real-world execution metrics to construct and validate the model.
147
Publications
7.9K
Citations
436
Authors
214
Institutions
Publications per year
2017–2026
40
Parents
Publications
147
An exploration of axiomatic approaches to information retrieval
Hui Fang, ChengXiang Zhai · 2005 · 178 citations
1–5 of 147
Authors
436
- PR
3
h-index
- DM
3
h-index
- PJ
3
h-index
- WP
3
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- MJ
3
h-index
1–5 of 436
Institutions
214
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
13 publications
317 citations
Istanbul Technical University
Istanbul, Türkiye
4 h-index
8 publications
380 citations
Purdue University West Lafayette
West Lafayette, United States
4 h-index
8 publications
245 citations
Cornell University
Ithaca, United States
3 h-index
7 publications
802 citations
Microsoft (United States)
Redmond, United States
3 h-index
8 publications
233 citations
Janssen (United States)
Hopewell, United States
3 h-index
3 publications
96 citations
University of Science and Technology of China
Hefei, China
3 h-index
7 publications
345 citations
Tallinn University of Technology
Tallinn, Estonia
3 h-index
17 publications
585 citations
1–8 of 214
Venues
- ACM SIGMETRICS Performance Evaluation Review
PER · 3 publications · 58 citations
3
h-index
- Drug Safety
3 publications · 96 citations
3
h-index
- The International Journal of High Performance Computing Applications
3 publications · 87 citations
3
h-index
- Measurement
2 publications · 77 citations
2
h-index
- Empirical Software Engineering
2 publications · 39 citations
2
h-index
1–5